Predicting Web Services with Service Ontology

Nowadays, ontology is considered a powerful strategy for designing more precise and easy to use information search, recommendation system and prediction engine. It has become a prominent approach to providing information that is tailored to user preferences. Our system was developed by utilizing the ontology to improve the precision of service prediction. By building a more accurate profile of user through personalization, there are a number of benefits that can be gained in predicting service, including a higher chance of obtaining the results users expect, and an overall improved experience. Therefore, we decided to extend personal ontology with the description of services to a service ontology. The objective of this thesis is: give a scenario, and we would like to predict its related web services. There are four main modules in proposed approach: (1) parsing scenarios to entities; (2) transferring entities to a complex event; (3) constructing service ontology; and (4) using complex events and service ontology to predict its related web services. The benefits of proposed approach not only consider the structure of a scenario in the process of service prediction but also obtain the feedback of service prediction. The feedback depends on the service ontology, therefore it can provide more accurate predictions as time goes by.